树轮灰度与树轮密度的对比分析及其对气候要素的响应

通过对比新疆巩乃斯地区艾肯达坂采样点雪岭云杉5种树轮灰度年表与其对应4种密度年表的特征参数、年表曲线及其在全频域、高频域及低频域上的相关系数,发现早材平均灰度和晚材平均灰度的变化能够较好的反映早材平均密度和晚材平均密度的变化,而年轮最大灰度和年轮最小灰度的变化对年轮最小密度和年轮最大密度的变化则反映较差.与这一地区气象资料的相关分析结果表明,当年5月至8月平均最高气温与年轮平均灰度年表的相关性最好且具有明确的树木生理学意义,最高单相关系数为-0.542 (P＜0.0001,n=51).证明了树轮灰度在历史时期气候变化研究中的应用潜力,同时也为将来在这一地区开展利用树轮灰度重建历史时期气候变化打下了基础.     

中国祁连山西段青海云杉树轮密度记录的气候信号

树轮气候学是研究过去气候变化的重要手段之一。以往研究表明,树轮密度是生长季温度的重要代用资料。本文建立了祁连山西段青海云杉132～135年的树轮最大密度年表、树轮最小密度年表、树轮晚材平均密度年表和树轮早材平均密度年表,比较了不同密度年表指示的最优气候信号及其季节组合,评估了其作为气候代用资料的潜力与价值。结果表明:树轮晚材平均密度和树轮早材平均密度对于树木生长季气候信号的响应远低于树轮最大密度和树轮最小密度;树轮早材平均密度和树轮最小密度与帕尔默干旱指数有很强的联系,表明树轮早材平均密度和树轮最小密度有成为干旱代用指标的潜力。     

利用树木年轮宽度资料重建川西卧龙地区过去159年夏季温度的变化

根据川西卧龙地区林线位置岷江冷杉(Abies faxoniana)的年轮宽度资料, 分析了该地区树木年轮宽度与气候要素的关系, 并重建了该地区1850年以来夏季(6-8月份)温度的变化历史。结果表明: 川西卧龙地区在过去159年来的温度变化上, 最为明显的特征是20世纪40年代以来的显著变暖趋势, 而在20世纪40年代以前的温度明显偏低, 主要的低温时期在1850-1870年和1890-1930年。该温度序列的冷暖期与附近地区的冰芯、冰川进退资料, 以及对于夏季温度响应敏感的树轮年表都有着较好的对应关系, 这表明重建序列记录了可靠的区域尺度的温度信号。对重建温度序列的小波分析表明, 较为明显的有2-8年和10-16年的周期, 而这些周期可能与厄尔尼诺-南方涛动气候系统和太阳活动周期有一定的关系。     

黑龙江漠河兴安落叶松与樟子松树轮生长特性及其对气候的响应

树木年轮 (简称树轮 ) 气候学是监测与重建全球气候变化的重要方法之一。针叶树树轮的生长能反馈出气温的变化, 在高纬度地带尤为明显。该文分析了生长在我国最北部的兴安落叶松 (Larixgmelinii) 与樟子松 (Pinussylvestrisvar.mongolica) 的树轮密度和宽度的特性。落叶松最大密度、晚材平均密度、早晚材宽度和轮宽都远高于樟子松。樟子松的所有密度变量的样本方差都明显高于兴安落叶松, 宽度变量的样本方差却明显低于兴安落叶松。两树种密度变量的差值年表显著相关, 宽度变量之间没有显著相关关系。落叶松与樟子松的晚材密度的形成受 7、8月的最高温控制。另外, 樟子松的晚材还与生长季节的长短相关。落叶松的年轮宽度对生长季节开始前的温度敏感, 而樟子松的轮宽对气候变量没有很好的响应。结果表明, 落叶松与樟子松的树轮最大密度都与生长季后期的温度显著相关, 两树种的树轮信息对气候变化的重建有很大的潜力。     

基于黄山松树轮重建华东天目山地区1809—2018年4—7月平均气温

利用浙江北部西天目山高海拔黄山松树轮样品,建立了340年的整轮、早材和晚材宽度年表,根据子样本信号强度大于0.8的标准,确定年表的可靠时段为1810—2019年,通过对年表与气候要素进行相关分析,研究了树轮生长对气候的响应。结果表明: 黄山松径向生长对气温的响应远高于对降水的响应。综合考虑原始序列和一阶差序列相关分析结果,发现早材宽度与上年生长季前期平均气温、平均最高气温显著相关,晚材宽度与上年5月和当年9月平均气温、平均最高气温显著相关。整轮响应时段与早材较为一致,但相关性较低。最优相关组合为早材宽度与上年4—7月平均气温。基于这一关系,重建了华东天目山地区1809—2018年4—7月平均气温,方差解释量达61.5%,原始序列和一阶差序列均通过分段检验。重建气温序列中的偏冷时段为1834—1964年,偏暖时段为1809—1833和1965—2018年。20世纪60年代以来,气温进入快速上升阶段,从低频趋势上看,20世纪80年代之后气温达到过去210年来的最高水平。空间相关分析表明,重建序列较好地代表了华东地区气温的变化情况,与华东地区的区域重建序列对比也具有较好的一致性。黄山松在华东地区古气候重建方面具有较大潜力。     

小五台山青杨雌雄植株树轮生长特性及其对气候变化的响应差异

近年来逆境导致植物雌雄幼苗的生长出现差异被许多控制实验所证实, 而有关气候变化对雌雄异株植物成树生长的潜在影响尚未引起人们广泛的关注。为进一步揭示气候变化对雌雄植株树木径向和密度生长的不同影响, 该文通过树轮生态学的研究方法, 选择小五台山天然青杨(Populus cathayana)种群为研究对象, 对青杨雌雄植株近30年(1982-2011)的树轮生长特性及其与气候的相关性进行了分析。结果显示: 1)在近30年当地气温不断升高的气候条件下, 雌株的年轮最大密度和晚材平均密度均高于雄株(p < 0.05), 但雌雄植株的径向生长无显著差异; 2)雌雄植株年轮最大密度和宽度差值年表的变化趋势具有一致性, 但在年轮最大密度差值年表的变化上雄株波动幅度大于雌株; 3)青杨雌雄植株年轮密度差值年表对温度响应的月份明显不同。雌株年轮最大密度与当年8月的月平均最高气温显著正相关, 而雄株年轮最大密度与当年1月和4月的气温负相关; 4)生长季前的气候变化对青杨雌雄植株的径向生长均有明显的限制作用。此外, 当年6月的高温对于早材生长的限制作用特别明显。上述结果表明, 雌雄异株植物在树木年轮生长方面对全球气候变暖可能具有不同的响应机制, 雌株比雄株更侧重于密度生长。     

1801年以来河南尧山地区油松高温变化及影响机制

基于建立的河南尧山地区油松树轮宽度标准年表,分析了油松径向生长与该地区气温、降水等气候因子之间的关系以及气温升高前后树木生长与平均最高气温间的相关性,结果表明:4—7月平均最高气温与树轮年表的相关系数高达-0.64,是该地区油松径向生长的主要限制因子;气候变暖后树轮年表与9、10月份平均最高气温显著正相关,与2、3月降水显著正相关,与4—7月平均最高气温间的相关性较为稳定。因此,重建了尧山地区1801年来4—7月平均最高气温,其方差解释量达40%(调整自由度后为38.9%)。过去216年的高温重建历史中经历了6个较暖的时期:1801—1825,1845—1853,1876—1889,1922—1944,1957—1975,1996—2013年和5个较冷的时期:1826—1844,1854—1875,1890—1921,1945—1956,1978—1995年,其结果与过去伏牛山龙池曼地区5—7月温度重建序列具有很好的一致性。周期分析结果发现该地区4—7月平均最高气温变化存在着2—4年(ENSO周期)和35.23—48.47年的主要变化周期,小波分析发现在1920年前后气候由长周期变为短周期变化;空间相关分析显示重建的高温序列很好地代表了豫东平原地区的温度变化,同时也发现与北太平洋副热带高压850 hPa上空的温度有非常高的正相关关系,表明豫东高温的波动可能与北太平洋海气振荡有关,这一研究结果为山区森林管理及平原区农业生产提供基础服务数据。     

树轮记录的青海过去300年5-6月平均最高气温时空变化

利用位于青海不同地理单元的新建立的12个树轮年表和青海30个气象站的气象资料,采用REOF方法,分析了青海地区气温场和树轮宽度场特征;重建了青海过去300年5—6月平均最高气温。分析表明,青海气温场和树轮宽度场第一特征向量相关系数为-0.465(P0.01),两场的第一特征向量表现为同步变化,气温场和树轮宽度场第一特征向量高值中心位于青海北部的祁连山区和柴达木盆地,而低值中心位于青南高原西南部和东南部;过去300年青海气温大致可分为5冷5暖的变化阶段,存在5个明显的持续增温时段和4个持续降温时段,增温缓慢,降温迅速。最冷的时段为1830s—1840s年代,最长的偏冷期为19世纪末20世纪初,最暖的时段都发生在1930s—1950s年代,最长的偏暖期为18世纪末19世纪初。20世纪60年代以来,青海5—6月平均最高气温持续上升,尤其是80年代到现在,青海地区平均最高气温呈现急剧持续上升;过去300年青海地区5—6月平均最高气温具有2.1、3.1、8.5、25.5a和68.0a的变化准周期;青海5—6月平均最高气温受西风和印度季风影响较大;青海气候场重建序列的变化特征在一定程度上可代表青藏高原大部分地区甚至印度季风区5—6月平均最高气温。     

Gender-specific characteristics of tree-ring growth and differential responses to climate change in the dioecious tree Populus cathayana in Xiaowutai Mountains,China

近年来逆境导致植物雌雄幼苗的生长出现差异被许多控制实验所证实, 而有关气候变化对雌雄异株植物成树生长的潜在影响尚未引起人们广泛的关注。为进一步揭示气候变化对雌雄植株树木径向和密度生长的不同影响, 该文通过树轮生态学的研究方法, 选择小五台山天然青杨(Populus cathayana)种群为研究对象, 对青杨雌雄植株近30年(1982-2011)的树轮生长特性及其与气候的相关性进行了分析。结果显示: 1)在近30年当地气温不断升高的气候条件下, 雌株的年轮最大密度和晚材平均密度均高于雄株(p < 0.05), 但雌雄植株的径向生长无显著差异; 2)雌雄植株年轮最大密度和宽度差值年表的变化趋势具有一致性, 但在年轮最大密度差值年表的变化上雄株波动幅度大于雌株; 3)青杨雌雄植株年轮密度差值年表对温度响应的月份明显不同。雌株年轮最大密度与当年8月的月平均最高气温显著正相关, 而雄株年轮最大密度与当年1月和4月的气温负相关; 4)生长季前的气候变化对青杨雌雄植株的径向生长均有明显的限制作用。此外, 当年6月的高温对于早材生长的限制作用特别明显。上述结果表明, 雌雄异株植物在树木年轮生长方面对全球气候变暖可能具有不同的响应机制, 雌株比雄株更侧重于密度生长。     

不同树高处树轮密度变化特征及其对气候的响应

以伊犁南部山区雪岭云杉风倒木为对象,研究了1.3、5、10、15、20 m树高处树轮圆盘样品的最大密度、最小密度、早材平均密度、晚材平均密度4种树轮密度年表,结合当地气象观测资料进行相关分析,研究树干不同高度树轮密度对气候要素的响应特征。结果表明: 同一树高下4种密度参数在整体上表现出较高的相关性,其中10、15、20 m树高相对显著;不同树高处晚材平均密度的一致性相对较好;不同树高处树轮密度对气候要素的响应存在差异,15 m树高处最大密度、晚材平均密度对上年7—9月、当年5—9月平均气温具有较好的响应。因此,在1.3 m处采集雪岭云杉样本存在对气温响应估计偏低的可能。     

Separating the climatic signal from tree-ring width and maximum latewood density records

We propose a technique for separating the climatic signal which is contained in two tree-ring parameters widely used in dendroclimatology. The method is based on the removal of the relationship between tree-ring width (TRW) and maximum latewood density (MXD) observed for narrow tree rings from high latitudes. The new technique is tested on data from three larch stands located along the northern timberline in Eurasia. Correlations were calculated between the temperatures of pentads (five consecutive days), TRW chronologies and MXD chronologies calculated according to the standard and proposed methods. The analysis confirms the great importance of summer temperature for tree radial growth and tree-ring formation. TRW is positively correlated with the temperature of four to eight pentads (depending on the region) at the beginning of the growth season, but MXD as obtained by the standard technique is correlated with temperature over a much longer period. For maximum density series from which the relationship between MXD and TRW has been removed (MXD′), there is a clear correlation with temperatures in the second part of the growing season. These results are consistent with the known dynamics of tree-ring growth in high latitudes and mechanisms of tree-ring formation.     

Temperature sensitivity of blue intensity,maximum latewood density,and ring width data of living black spruce trees in the eastern Canadian taiga

The blue intensity (BI) technique provides opportunities to obtain surrogates to tree-ring density for reconstructing summer temperatures in high-latitude regions. In this study, we compare latewood BI (LBI) and delta BI (DBI), with the conventional X-ray maximum latewood density (MXD) and tree-ring width (TRW) data using 178 living trees of black spruce (Picea mariana (Mill.) B.S.P.), one of the most dominant species of conifers in the Northern Hemisphere, from 17 sites across the eastern Canadian taiga. The regional LBI and DBI chronologies are highly correlated to that of MXD (Pearson’s r = 0.97 and 0.92, respectively), while DBI is also similar to TRW (Pearson’s r = 0.67). Both LBI and DBI exhibit stronger responses to the May–August temperatures than TRW over larger time and spatial scales. However, only DBI is comparable to MXD data from inter-annual to decadal timescales. Low-frequency components of LBI data are likely distorted by color biases even if no obvious discoloration is present, as well as by the potentially low measurement resolution, leading to an overall weaker temperature sensitivity compared to the MXD data. Resampling experiments suggest that a minimum replication of 10 trees is needed to retain ≥90 % of the optimal temperature signal for MXD, LBI, and DBI data, and a minimum of 20 trees is required for TRW data.     

The temperature sensitivity along elevational gradients is more stable in maximum latewood density than tree-ring width

Tree ring-based temperature reconstructions are preferably derived from maximum latewood density (MXD) compared to tree-ring width (TRW). Although temperature signals in MXD are less dependent on site ecology, systematic analyses of the effects of elevation and slope aspect on ring formation are still lacking. Here, we assess the climate sensitivity of MXD and TRW chronologies from six larch (Larix decidua Mill.) sites across the Simplon valley in the southwestern Swiss Alps, representing elevations from 1400 to 2150 m asl on both north- and south-facing slopes. We find decreasing temperature signals with decreasing elevation in MXD and TRW, though correlation coefficients are generally higher for MXD and on the warmer and dryer south exposed slopes. While the greatest temperature signals are found for MJJA at highest elevations with r = 0.71 for MXD and r = 0.57 for TRW (both p < 0.05 and for the 1928–2009 common period), MXD still correlates significantly positive at the lowest elevation site that is ~750 m below the treeline. Our findings indicate the suitability of MXD over TRW for temperature reconstructions when using historical wood sources of unknown origin.     

Assessing non-linearity in European temperature-sensitive tree-ring data

We test the application of parametric, non-parametric, and semi-parametric calibration models for reconstructing summer (June–August) temperature from a set of tree-ring width and density data on the same dendro samples from 40 sites across Europe. By comparing the performance of the three calibration models on pairs” of tree-ring width (TRW) and maximum density (MXD) or maximum blue intensity (MXBI), we test whether a non-linear temperature response is more prevalent in TRW or MXD (MXBI) data, and whether it is associated with the temperature sensitivity and/or autocorrelation structure of the dendro parameters. We note that MXD (MXBI) data have a significantly stronger temperature response than TRW data as well as a lower autocorrelation that is more similar to that of the instrumental temperature data, whereas TRW exhibits a redder” variability continuum. This study shows that the use of non-parametric calibration models is more suitable for TRW data, while parametric calibration is sufficient for both MXD and MXBI data – that is, we show that TRW is by far the more non-linear proxy.     

Dendroclimatic potential of dendroanatomy in temperature-sensitive Pinus sylvestris

The most frequently and successfully used tree-ring parameters for the study of temperature variations are ring width and maximum latewood density (MXD). MXD is preferred over ring width due to a more prominent association with temperature. In this study we explore the dendroclimate potential of dendroanatomy based on the first truly well replicated dataset. Twenty-nine mature living Pinus sylvestris trees were sampled in North-eastern Finland at the cool and moist boreal forest zone, close to the latitudinal tree line, where ring width, X-ray MXD as well as the blue intensity counterpart MXBI were compared with dendroanatomical parameters. Maximum radial cell wall thickness as well as anatomical MXD and latewood density appeared to be the most promising parameters for temperature reconstruction. In fact, these parameters compare favorably to MXD derived from X-ray techniques as well as MXBI, in terms of shared variation and temperature correlations across frequencies and over time. The reasons for these results are thought to be the unprecedentedly high measurement resolution of the anatomical technique, which provide the optimal resolution – the cell – whereas X-ray techniques have a slightly lower resolution and BI techniques even lower. While the results of this study are encouraging, further tests on longer and multigenerational chronologies are required to more generally and fully assess the dendroclimate potential of anatomical parameters.     

Comparing Scots pine tree-ring proxies and detrending methods among sites in Jämtland,west-central Scandinavia

Scots pine tree-ring width (TRW) data from Jämtland in the Central Scandinavian Mountains has been used to reconstruct summer temperatures back to 1630 BC. However, it was recently shown that this reconstruction was of limited spatial importance. In this paper, we aim to explain this limitation in the TRW data as a temperature proxy, as well as assess the temperature information from new maximum latewood density (MXD) data. Furthermore, the effect of two standardization methods is evaluated: regional curve standardization (RCS) and a more traditional standardization, termed “non-RCS” standardization. Three TRW and two MXD sites were analyzed. Our results showed that despite the proximity to the Norwegian Sea, the MXD data is a powerful temperature proxy. Difference among sites in TRW data, especially on decadal timescales, together with a lower temperature association, suggests that other factors, such as changes in the local climate regimes, weakens the temperature signal. In general the RCS method overestimates pine growth trends in the latter half of the twentieth century, a feature not seen when using “non-RCS” standardization. This is likely due to an age-bias of older trees in most recent parts of the tree-ring chronologies. This effect will have consequences when reconstructing climate with tree-ring data. To overcome this problem, all age-classes should be represented throughout a chronology. If this is not possible, the use of “non-RCS” standardization is recommended, although this method results in a loss of low-frequency variability.     

Diverse climate sensitivity of Mediterranean tree-ring width and density

Understanding long-term environmental controls on the formation of tree-ring width (TRW) and maximum latewood density (MXD) is fundamental for evaluating parameter-specific growth characteristics and climate reconstruction skills. This is of particular interest for mid-latitudinal environments where future rates of climate change are expected to be most rapid. Here we present a network of 28 TRW and 21 MXD chronologies from living and relict conifers. Data cover an area from the Atlantic Ocean in the west to the Mediterranean Sea in the east and an altitudinal gradient from 1,000 to 2,500 m asl. Age trends, spatial autocorrelation functions, carry-over effects, variance changes, and climate responses were analyzed for the individual sites and two parameter-specific regional means. Variations in warm season (May–September) temperature mainly control MXD formation (r = 0.58 to 0.87 from inter-annual to decadal time-scales), whereas lower TRW sensitivity to temperature remains unstable over space and time.     

A lonely dot on the map: Exploring the climate signal in tree-ring density and stable isotopes of clanwilliam cedar,South Africa

Clanwilliam cedar (Widdringtonia cedarbergensis; WICE), a long-lived conifer with distinct tree rings in Cape Province, South Africa, has potential to provide a unique high-resolution climate proxy for southern Africa. However, the climate signal in WICE tree-ring width (TRW) is weak and the dendroclimatic potential of other WICE tree-ring parameters therefore needs to be explored. Here, we investigate the climatic signal in various tree-ring parameters, including TRW, Minimum Density (MND), Maximum Latewood Density (MXD), Maximum Latewood Blue Intensity (MXBI), and stable carbon and oxygen isotopes (δ¹⁸O and δ¹³C) measured in WICE samples collected in 1978. MND was negatively influenced by early spring (October-November) precipitation whereas TRW was positively influenced by spring November-December precipitation. MXD was negatively influenced by autumn (April-May) temperature whereas MXBI was not influenced by temperature. Both MXD and MXBI were negatively influenced by January-March and January-May precipitation respectively. We did not find a significant climate signal in either of the stable isotope time series, which were measured on a limited number of samples. WICE can live to be at least 356 years old and the current TRW chronology extends back to 1564 CE. The development of full-length chronologies of alternative tree-ring parameters, particularly MND, would allow for an annually resolved, multi-century spring precipitation reconstruction for this region in southern Africa, where vulnerability to future climate change is high.     

Climate response of Picea schrenkiana based on tree-ring width and maximum density

The effect of global warming on alpine forests is complex. It is crucial, therefore, to investigate the effects of climate change on the radial growth of trees at different altitudes. The tree growth–climate relationship remains poorly understood at large spatial scales in the Tianshan Mountains, China. Schrenk spruce (P. schrenkiana) is a unique tree species to this area. In this study, we collected tree-ring width and maximum density data from nine plots along an altitudinal gradient. Results showed that altitude affected both tree-ring width and maximum density. At high altitudes, tree-ring width was positively correlated with temperature in February of the current year. Tree-ring width was also positively correlated with precipitation in July of the previous year, and January and July of the current year, and negatively correlated with the monthly diurnal temperature range (DTR). At low altitudes, tree-ring width was negatively correlated with temperature in the early growing season and the growing season. Tree-ring width was positively correlated with precipitation in June and September of the previous year, and May of the current year. The tree-ring maximum density was positively correlated with temperature and the DTR of the growing season, and negatively correlated with precipitation in winter and growing season. Moving correlation analysis showed that the positive response of tree-ring width to precipitation in the growing season was enhanced over time at high altitudes. In the low-altitude trees, the negative response of tree-ring width to temperature in the growing season was reduced, while the positive response to precipitation in the growing season was enhanced. The positive response relationship between tree-ring maximum density and the temperature in July weakened over time. At low altitudes, the negative response of tree-ring maximum density to winter precipitation was strengthened, and a stable negative response to July precipitation was observed. As the climate becomes wetter and warmer in the Tianshan Mountains, our results suggest that the radial growth of trees may benefit at elevations above 2400 m a.s.l. There was no obvious elevation limit for the increase in tree-ring maximum density. These findings provide a basis for sustainable forest management under global climate change.